Instructions to use dream-textures/texture-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dream-textures/texture-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dream-textures/texture-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "pbr brick wall" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e6588f1e33c928001177633065236820bc4b3ebb84d95c487eb98b84414e4cdd
- Size of remote file:
- 1.36 GB
- SHA256:
- e3ba89d3a857ddec7509cfa4b2548428ecac2c7fa78339ca81bd1c3c9cc6a7d8
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